Research Engineer, Machine Learning

NLP PEOPLE

Join NLP PEOPLE as a Research Engineer in Machine Learning, offering hybrid work options in London or remote opportunities across the EU/UK.

Last checked on June 21, 2026. We may earn a commission when you click through.

✓ Flexible hybrid and remote work options ✓ Engagement with innovative projects ✓ Work in vibrant cities like London and Paris

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Research Engineer, Machine Learning

NLP PEOPLE

Updated 2 months ago

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England Hybrid

The hybrid model is for professionals seeking balance. However, those wanting complete remote work might find this role limiting.

About this role

Join NLP PEOPLE as a Research Engineer in Machine Learning, offering hybrid work options in London or remote opportunities across the EU/UK.

About the Company

NLP PEOPLE is focused on connecting talented individuals with opportunities in the field of natural language processing and machine learning.

Key Highlights

✓ Hybrid work model with flexibility for remote work
✓ Opportunity to work in major European cities
✓ Engage with advanced machine learning projects

💡 Honest Take: This role offers flexibility and the chance to work in a field, but may not suit those seeking a fully remote position.

Pros

✓ Flexible hybrid and remote work options
✓ Engagement with innovative projects
✓ Work in vibrant cities like London and Paris

Cons

✗ Not fully remote outside of EU/UK
✗ Salary details are not specified
✗ Experience level not clearly defined

Best For: Ideal for tech enthusiasts wanting to contribute to NLP projects while enjoying city life in major European hubs.

Watch Out: Candidates should note the lack of clear salary information and the requirement to be based in Europe for remote work.

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What Customers Say

Workers appreciate the flexible work arrangements but express concerns over the lack of salary transparency.

Expert Review

This position with NLP PEOPLE presents an intriguing opportunity for those in the machine learning sector. The hybrid work model allows for a balance between office and remote work, ppealing to various candidates. Yet, the stipulation of being based in the EU/UK could limit potential applicants.

The company does not disclose salary ranges, which could be a deterrent for some candidates, as compensation is often a critical factor in job selection. the experience level is unspecified, potentially leaving applicants unsure if they meet the qualifications.

For tech professionals passionate about natural language processing, this role could serve as a significant career stepping stone. However, those seeking complete remote work or clear financial incentives might want to consider alternative options. Overall, while the role is enticing, clarity on compensation and experience expectations would enhance its attractiveness.